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Opportunity: Postdoctoral position @ Department of Human Genetics at the University of Chicago -- Chicago, IL (US)
Submitted by Natalia Maltsev; posted on Monday, October 01, 2012
BACKGROUND:
The GEDI project at the University of Chicago is aimed to develop an integrated computational platform and a suite of bioinformatics tools to support high-throughput translational medicine projects (with the emphasis on the studies of neurodevelopmental and mental disorders).

RESPONSIBILITIES:
The responsibilities of the successful candidate will include the development, implementation and validation of bioinformatics algorithms for feature- and networks-based gene prioritization and reconstruction of context-dependent integrative disease models; writing scientific papers and presenting the results of the studies at the workshops and conferences. Self-motivated candidates, interested in mathematical and statistical aspects of research, the development of new creative methods for intelligent data analysis and skilled in programming are strongly encouraged to apply.

REQUIREMENTS:
Ph.D. in mathematics, bioinformatics, computer science, biostatistics, or related areas. Excellent communication and interpersonal skills. Expertise in computational modeling (machine learning and data mining) with applications to networks and high-dimensional data analysis. Substantial programming experience in R, Matlab, Perl, Java is required.

PREFERENCES:
Experience in genomic data analysis and familiarity with major concepts of molecular biology and translational medicine are strongly preferred.

LOCALE:
The University of Chicago campus is located in Hyde Park, Chicago, IL.

HOW TO APPLY:
Interested candidates should send their application, a statement of interests (1-2 pages), the expected date of availability, a curriculum vitae including a list of publications, and contact details for 3 references by email to Prof. Natalia Maltsev (maltsev[at]uchicago.edu).

DEADLINE:
November 30, 2012

POLICY:
The University of Chicago is an Affirmative Action / Equal Opportunity Employer.

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